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Enas Abdulhay
Enas Abdulhay
Verified email at just.edu.jo - Homepage
Title
Cited by
Cited by
Year
Seizure classification in EEG signals utilizing Hilbert-Huang transform
RJ Oweis, EW Abdulhay
Biomedical engineering online 10, 1-15, 2011
2812011
Classification of focal and non focal EEG using entropies
N Arunkumar, K Ramkumar, V Venkatraman, E Abdulhay, SL Fernandes, ...
Pattern Recognition Letters 94, 112-117, 2017
2562017
Using deep convolutional neural network for emotion detection on a physiological signals dataset (AMIGOS)
L Santamaria-Granados, M Munoz-Organero, G Ramirez-Gonzalez, ...
IEEE Access 7, 57-67, 2018
2512018
A medical records managing and securing blockchain based system supported by a genetic algorithm and discrete wavelet transform
AF Hussein, N ArunKumar, G Ramirez-Gonzalez, E Abdulhay, ...
Cognitive Systems Research 52, 1-11, 2018
2332018
Gait and tremor investigation using machine learning techniques for the diagnosis of Parkinson disease
E Abdulhay, N Arunkumar, K Narasimhan, E Vellaiappan, V Venkatraman
Future Generation Computer Systems 83, 366-373, 2018
2322018
A robust and efficient password-based conditional privacy preserving authentication and group-key agreement protocol for VANETs
SKH Islam, MS Obaidat, P Vijayakumar, E Abdulhay, F Li, MKC Reddy
Future Generation Computer Systems 84, 216-227, 2018
1772018
K-Means clustering and neural network for object detecting and identifying abnormality of brain tumor
N Arunkumar, MA Mohammed, MK Abd Ghani, DA Ibrahim, E Abdulhay, ...
Soft Computing 23, 9083-9096, 2019
1462019
Convolutional neural network for bio-medical image segmentation with hardware acceleration
M Vardhana, N Arunkumar, S Lasrado, E Abdulhay, G Ramirez-Gonzalez
Cognitive Systems Research 50, 10-14, 2018
1392018
An automated remote cloud-based heart rate variability monitoring system
AF Hussein, M Burbano-Fernandez, G Ramírez-Gonzalez, E Abdulhay, ...
IEEE access 6, 77055-77064, 2018
1142018
Decision-level fusion scheme for nasopharyngeal carcinoma identification using machine learning techniques
MK Abd Ghani, MA Mohammed, N Arunkumar, SA Mostafa, DA Ibrahim, ...
Neural Computing and Applications 32, 625-638, 2020
1102020
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
M Baygin, S Dogan, T Tuncer, PD Barua, O Faust, N Arunkumar, ...
Computers in Biology and Medicine 134, 104548, 2021
1002021
An effect of big data technology with ant colony optimization based routing in vehicular ad hoc networks: Towards smart cities
SK Lakshmanaprabu, K Shankar, SS Rani, E Abdulhay, N Arunkumar, ...
Journal of cleaner production 217, 584-593, 2019
992019
Autism spectrum disorder diagnostic system using HOS bispectrum with EEG signals
TH Pham, J Vicnesh, JKE Wei, SL Oh, N Arunkumar, EW Abdulhay, ...
International journal of environmental research and public health 17 (3), 971, 2020
782020
Computer aided solution for automatic segmenting and measurements of blood leucocytes using static microscope images
E Abdulhay, MA Mohammed, DA Ibrahim, N Arunkumar, V Venkatraman
Journal of medical systems 42, 1-12, 2018
762018
Monitoring techniques
EW Abdulhay, RJ Oweis, AM Alhaddad, FN Sublaban, MA Radwan, ...
Biomedical Science 2 (3), 53-67, 2014
76*2014
An alternative respiratory sounds classification system utilizing artificial neural networks
R Oweis, E Abdulhay, A Khayal, A Awad
Biomedical journal 38 (2), 2015
752015
Computer-aided autism diagnosis via second-order difference plot area applied to EEG empirical mode decomposition
E Abdulhay, M Alafeef, L Alzghoul, M Al Momani, R Al Abdi, N Arunkumar, ...
Neural Computing and Applications 32, 10947-10956, 2020
542020
Brain complexity in children with mild and severe autism spectrum disorders: analysis of multiscale entropy in EEG
H Hadoush, M Alafeef, E Abdulhay
Brain topography 32, 914-921, 2019
542019
Automated diagnosis of epilepsy from EEG signals using ensemble learning approach
E Abdulhay, V Elamaran, M Chandrasekar, VS Balaji, K Narasimhan
Pattern Recognition Letters 139, 174-181, 2020
532020
Automated categorization of multi-class brain abnormalities using decomposition techniques with MRI images: a comparative study
A Gudigar, U Raghavendra, EJ Ciaccio, N Arunkumar, E Abdulhay, ...
IEEE Access 7, 28498-28509, 2019
512019
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